From all of the terrible benchmarks of AIs, the AA one is the least terrible.

Only because it aggregates all the other benchmarks. It still feels off. It felt off before the last two re-rankings, and it still feels off. Probably because the benchmarks its based on aren’t measuring the right things.

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teiferer 3 hours ago | parent [-]

Not questioning that it's off/biased/..., but what are you basing your "feel" on? Anything empirical or really just a feel?

	▲	kennywinker 3 hours ago \| parent [-]
		Entirely vibes based for the AA rankings. For specific benchmarks, I’ve downloaded and used basically every model out there under 35b parameters - especially the tiny models: ling-3.0-tiny, spark-x2.6-4b, nanbeige, etc. etc. some of those tiny models are ranked VERY high on benchmarks like deepswe or terminalbench but are obviously incapable when you try to use them for swe or terminal based tasks. If that’s benchmaxxing or a bad benchmark, idk, but it’s made me not trust the benchmarks much. If it benchmarks poorly, it’s probably bad. If it benchmarks well, it might be good.